sentence-transformers How to use Borsa356/bert_mnr_2 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Borsa356/bert_mnr_2")
sentences = [
"a man wearing blue plays soccer.",
"man playing soccer",
"the person is hanging pictures.",
"The swimmer is getting out of the water."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
